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Kyrylo Kolodiazhnyi
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  • Ukraine
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Kyrylo Kolodiazhnyi's blog post was featured

Machine Learning with C++ - Mask R-CNN with PyTorch C++ Frontend

I made C++ implementation of Mask R-CNN with PyTorch C++ frontend. The code is based on PyTorch implementations from multimodallearning and Keras implementation from …See More
Jan 24
Daniel Watkins liked Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend
Nov 20, 2018
Geoffrey Riva Moraes Porto liked Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend
Nov 15, 2018
Kyrylo Kolodiazhnyi's blog post was featured

Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend

I published implementation of Faster R-CNN with MXNet C++ Frontend. You can use this implementation as comprehensive example of using MXNet C++ Frontend, it has custom data loader for MS Coco dataset, implements custom target proposal layer as a part of the project without modification MXNet library, contains code for errors checking (Missed in current C++ API), have Eigen and NDArray integration samples. Feel free to leave comments and proposes. The code is available on Github,…See More
Nov 15, 2018
Kyrylo Kolodiazhnyi posted a blog post

Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend

I published implementation of Faster R-CNN with MXNet C++ Frontend. You can use this implementation as comprehensive example of using MXNet C++ Frontend, it has custom data loader for MS Coco dataset, implements custom target proposal layer as a part of the project without modification MXNet library, contains code for errors checking (Missed in current C++ API), have Eigen and NDArray integration samples. Feel free to leave comments and proposes. The code is available on Github,…See More
Nov 15, 2018
Kyrylo Kolodiazhnyi updated their profile
Nov 13, 2018
Kyrylo Kolodiazhnyi's blog post was featured

Machine Learning with C++ - Classification with Dlib

Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…See More
Aug 11, 2018
Kyrylo Kolodiazhnyi posted a blog post

Machine Learning with C++ - Classification with Shark-ML

Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:1. Loading data2. Performing normalization and dimension reduction3. Configuring…See More
Aug 2, 2018
Kyrylo Kolodiazhnyi's blog post was featured

Machine Learning with C++ - Classification with Shark-ML

Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:1. Loading data2. Performing normalization and dimension reduction3. Configuring…See More
Aug 2, 2018
Kyrylo Kolodiazhnyi posted a blog post

Machine Learning with C++ - Classification with Shogun library

Hello, with this article I'm starting series of articles about full featured C++ Machine Learning frameworks . This articles covers how to use Shogun library for solving classification problem. Shogun is an open-source machine learning library that offers a wide range of machine learning algorithms. From my point of view it's not very popular among professionals, but it have a lot of fans among enthusiasts and students.…See More
Jul 18, 2018
Kyrylo Kolodiazhnyi's blog post was featured

Machine Learning with C++ - Classification with Shogun library

Hello, with this article I'm starting series of articles about full featured C++ Machine Learning frameworks . This articles covers how to use Shogun library for solving classification problem. Shogun is an open-source machine learning library that offers a wide range of machine learning algorithms. From my point of view it's not very popular among professionals, but it have a lot of fans among enthusiasts and students.…See More
Jul 18, 2018
Raghvendra Shukla liked Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Polynomial regression with Eigen
Jun 25, 2018
Kyrylo Kolodiazhnyi commented on Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Polynomial Regression (CPU)
"Juan, This example requires C++14 compatible compiler."
Jun 25, 2018
Prabhakaran Sampath liked Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Polynomial regression with Eigen
Jun 14, 2018
Juan Carlos Flores commented on Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Polynomial Regression (CPU)
"I like C++ a lot for being able to manage the CPU at low level and was one of my first battle languages. just curious to know which version are using? "
Jun 14, 2018
Juan Carlos Flores liked Kyrylo Kolodiazhnyi's blog post Machine Learning with C++ - Polynomial Regression (CPU)
Jun 14, 2018

Profile Information

My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/kyrylo-kolodiazhnyi-79b96914/
Field of Expertise
Machine Learning, Deep Learning
Professional Status
Technical
Your Company:
TeamDev
Industry:
Software development
Your Job Title:
Senior Software Engineer
How did you find out about DataScienceCentral?
From LinkedIn group
Interests:
Contributing, Networking

Kyrylo Kolodiazhnyi's Blog

Machine Learning with C++ - Mask R-CNN with PyTorch C++ Frontend

Posted on January 21, 2019 at 7:44am 0 Comments

I made C++ implementation of Mask R-CNN with PyTorch C++ frontend. The code is based on PyTorch implementations from multimodallearning and Keras implementation from …

Continue

Machine Learning with C++ - Faster R-CNN with MXNet C++ Frontend

Posted on November 5, 2018 at 11:30pm 0 Comments

I published implementation of Faster R-CNN with MXNet C++ Frontend. You can use this implementation as comprehensive example of using MXNet C++ Frontend, it has custom data loader for MS Coco dataset, implements custom target proposal layer as a part of the project without modification MXNet library, contains code for errors checking (Missed in current C++ API), have Eigen and NDArray integration samples. Feel free to leave comments and proposes. The code is available on Github,…

Continue

Machine Learning with C++ - Classification with Dlib

Posted on August 7, 2018 at 7:03am 0 Comments

Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…

Continue

Machine Learning with C++ - Classification with Shark-ML

Posted on July 30, 2018 at 2:40am 0 Comments

Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:

1. Loading data

2. Performing normalization and dimension…

Continue

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